| Adaptive deep learning model selection on embedded systems B Taylor, VS Marco, W Wolff, Y Elkhatib, Z Wang ACM SIGPLAN Notices 53 (6), 31-43, 2018 | 165 | 2018 |
| Adaptive optimization for OpenCL programs on embedded heterogeneous systems B Taylor, VS Marco, Z Wang ACM SIGPLAN Notices 52 (5), 11-20, 2017 | 69 | 2017 |
| Improving spark application throughput via memory aware task co-location: A mixture of experts approach VS Marco, B Taylor, B Porter, Z Wang Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 95-108, 2017 | 64 | 2017 |
| Optimizing deep learning inference on embedded systems through adaptive model selection VS Marco, B Taylor, Z Wang, Y Elkhatib ACM Transactions on Embedded Computing Systems (TECS) 19 (1), 1-28, 2020 | 59 | 2020 |
| Adaptive selection of deep learning models on embedded systems B Taylor, VS Marco, W Wolff, Y Elkhatib, Z Wang arXiv preprint arXiv:1805.04252, 2018 | 17 | 2018 |
| Corner case data description and detection T Ouyang, VS Marco, Y Isobe, H Asoh, Y Oiwa, Y Seo 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI …, 2021 | 13 | 2021 |
| AI robustness analysis with consideration of corner cases T Ouyang, Y Isobe, VS Marco, J Ogata, Y Seo, Y Oiwa 2021 IEEE International Conference on Artificial Intelligence Testing …, 2021 | 8 | 2021 |
| An ontological architecture for principled and automated system of systems composition A Elhabbash, V Nundloll, Y Elkhatib, GS Blair, VS Marco Proceedings of the IEEE/ACM 15th International Symposium on Software …, 2020 | 8 | 2020 |
| Improved surprise adequacy tools for corner case data description and detection T Ouyang, VS Marco, Y Isobe, H Asoh, Y Oiwa, Y Seo Applied Sciences 11 (15), 6826, 2021 | 7 | 2021 |
| Real-Time Power Cycling in Video on Demand Data Centres Using Online Bayesian Prediction VS Marco, Z Wang, B Porter 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 3 | 2017 |
| Efficient leader election for synchronous shared-memory systems VS Marco, M Zolda, R Kirner Proc. Int'l Workshop on Performance, Power and Predictability of Many-Core …, 2014 | 3 | 2014 |
| Artificial neural network (ANN) as a tool to reduce human-animal interaction improves senegalese sole production JM Martínez-Vázquez, DG Valcarce, MF Riesco, VS Marco, M Matsuoka, ... Biomolecules 9 (12), 778, 2019 | 2 | 2019 |
| Fault-tolerant Coordination of S-Net Stream-processing Networks⇤ R Kirner, VS Marco, M Zolda, F Penczek Proc. 2nd Workshop on Feedback-Directed Compiler Optimization for Multi-Core …, 2013 | 1 | 2013 |
| Principled and automated system of systems composition using an ontological architecture A Elhabbash, Y Elkhatib, V Nundloll, VS Marco, GS Blair Future Generation Computer Systems, 2024 | | 2024 |
| Low-cost automatic fish measuring estimation VS Marco, DG Valcarce, MF Riesco, V Robles Proceedings of the 36th Annual ACM Symposium on Applied Computing, 90-97, 2021 | | 2021 |
| AICO, Artificial Intelligent COach VS Marco, N Ukita, N Kobayashi, M Matsuoka Václav Skala-UNION Agency, 2020 | | 2020 |
| Fault Tolerance for Stream Programs on Parallel Platforms V Sanz-Marco | | 2016 |
| 2021 IEEE International Conference On Artificial Intelligence Testing (AITest)| 978-1-6654-3481-2/21/$31.00© 2021 IEEE| DOI: 10.1109/AITEST52744. 2021.00029 S Ali, P Arcaini, MM Arıcı, M Azhar, C Bartelt, MB Bescos del Castillo, ... | | |
| Unser besonderer Dank gilt den Mitgliedern des Programmkomitees für ihre Unterstützung bei der Auswahl der besten Beiträge sowie der Werbung für die Arbeitstagung … C Heinlein, R Kirner, J Knoop, R Lämmel, W Löwe, M Müller-Olm, T Noll, ... | | |
Ben TaylorNoneVerified email at lancaster.ac.uk
